INDEPENDENT COMPONENT ANALYSIS - SOURCE ASSESSMENT AND SEPARATION, A BAYESIAN-APPROACH

Authors
ROBERTS SJ
Citation
Sj. Roberts, INDEPENDENT COMPONENT ANALYSIS - SOURCE ASSESSMENT AND SEPARATION, A BAYESIAN-APPROACH, IEE proceedings. Vision, image and signal processing, 145(3), 1998, pp. 149-154
Citations number
11
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEE proceedings. Vision, image and signal processing → ACNP
ISSN journal
1350245X
Volume
145
Issue
3
Year of publication
1998
Pages
149 - 154
Database
ISI
SICI code
1350-245X(1998)145:3<149:ICA-SA>2.0.ZU;2-F
Abstract
The author presents a method of independent component analysis which a ssesses the most probable number of source sequences from a larger num ber of observed sequences and estimates the unknown source sequences a nd mixing matrix. The estimation of the number of true sources is rega rded as a model-order estimation problem and is tackled under a Bayesi an paradigm. The method is shown to give good results on both syntheti c and real data.